Storage Blob Data ReaderAzure AI 搜索存储帐户读取文档 Blob 和区块 Blob。 ReaderAzure AI Foundry 项目Azure 存储专用终结点(Blob 和文件)读取在 Azure AI Foundry 项目的 Blob 存储中创建的搜索索引。 Cognitive Services OpenAI UserWeb 应用Azure OpenAI推理。
Azure OpenAI On Your Data enables you to run advanced AI models such as GPT-35-Turbo and GPT-4 on your own enterprise data without needing to train or fine-tune models. You can chat on top of and analyze your data with greater accuracy. You can specify sources to support the responses...
借助Azure OpenAI Service On Your Data,您可以实现开箱即用的优质 AI 响应,因为我们实施了精确的提示工程并调整了各种组件,例如意图提取、搜索检索、过滤和重新排序、数据摄取提供针对每个模型优化的准确、简洁和连贯的响应。 释放数据的力量 Azure OpenAI数据服务使您能够通过企业级安全性轻松释放数据的全部潜力。通过...
openai_api_version = config['openai_api_version'] In my case, I’ve pushed all the configuration values in env_name and then I’m reading those values. Feel free to change above lines of code as per your convenience. Preparing the Data Next, we need to read a CSV file, aka comma-s...
Step 6: Bring your own Data to Azure OpenAI. Step 7: Deploy to a Website or Power Virtual Agent. Step 8: Modify the Website Access using Azure Active Directory. Step 1: OpenAzure Portaland Create a new Resource group A resource group is a container that holds rel...
Step 6: Bring your own Data to Azure OpenAI. Step 7: Deploy to a Website or Power Virtual Agent. Step 8: Modify the Website Access using Azure Active Directory. Step 1: OpenAzure Portaland Create a new Resource group A resource group is a container that holds relate...
已部署 gpt-4o 或gpt-4o-mini 模型的 Azure OpenAI 服務資源。 建議您使用標準或全域標準模型 部署類型 進行初始探索。 如需模型部署的詳細資訊,請參閱資源部署指南。 移至Azure AI Foundry 流覽至 Azure AI Foundry ,並使用可存取 Azure OpenAI 資源的認證登入。 在登入工作流程期間 (或之後...
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I am working with azure talking avatar. I have trained the azure openai with my own data. After giving all the credentials, I am trying to ask questions. I am getting the below… Azure Open Datasets Azure Open Datasets An Azure service that provides curated open data for machine learning...
from openai import AzureOpenAI 现在,需要读取 csv 文件并创建 pandas 数据帧。 创建初始数据帧后,可以通过运行来查看表的内容。 df df=pd.read_csv(os.path.join(os.getcwd(),'bill_sum_data.csv')) # This assumes that you have placed the bill_sum_data.csv in the same directory you are running...